Hontology (H stands for hotel, hostal and hostel) (available at http://ontolp.inf.pucrs.br/Recursos/downloads-Hontology.php) is a new multilingual ontology for the accommodation sector freely available, containing 282 concepts categorized into 16 top-level concepts. The concepts of other voca...
This resource contains a pre-trained BERT language model trained on the Portuguese language. A BERT-Base cased variant was trained on the BrWaC (Brazilian Web as Corpus), a large Portuguese corpus, for 1,000,000 steps, using whole-word mask. The model is available as artifacts for TensorFlow and...
Dicionário de Gentílicos e Topónimos is a list of pairs of toponyms and demonyms. The toponyms and demonyms included have a morphologically compositional relation between each other. The list contains around 1500 such pairs and additionally provides information on the toponym referent (upper unit...
The News corpus developed by LIACC in JSON format was complemented with POS and keyword topics annotation. POS-tagging =========== The POS-tagging used the tagger described in Généreux et al. (2012) The title and text body were extracted, tokenized and pos-tagged. Two new fields were added...
The LX-Battig was created from Battig test.set (Baroni et al., 2010). This data set has 83 concrete concepts of the following 10 categories: mammals, birds, fish, vegetables, fruit, trees, vehicles, clothes, tools and kitchenware. The categories names and the concepts were translated by two trans...
Hesita-POS is an annotaded corpus. Tv News.
This is a set of 11.361 biographies of Portuguese people. The compilation of the data involved the biography collection from wikipedia and data conversion. Several filters were applied to remove entries that were mostly empty or non applicable content. Format: JSON (conversion from HTML) ...
LX-AP was created from the translation of Almuhareb-Poesio (ap) benchmark (Almuhareb and Poesio, 2005). The original data set was created considering three aspects: POS, frequency and ambiguity. It contains 402 names from 21 categories of WordNet, with 13 to 21 names from each one of those categ...